There are some related studies that have tried to combine EAX-GA with reinforcement learning or local search. Liu and Zeng ([1]}) have tried to combine reinforcement learning with the previous version of EAX-GA ([2]} [2]}), but they didn't combine reinforcement learning with the key step of EAX-GA, thus the improvement is not obvious and the efficiency of their proposed algorithm is rather low. And Tsai et al. ([4]}) have tried to combine the earliest version of EAX-GA ([5]} [5]}) with the LK local search ([7]} [7]}), but they apply LK to optimize the offspring with the shortest route generated by each pair of parents, thus the population diversity and the efficiency are both reduced.
